Triple

T9731847
Position Surface form Disambiguated ID Type / Status
Subject Battle of Hannut E235762 entity
Predicate locatedNear P294 FINISHED
Object Gembloux E747984 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gembloux | Statement: [Battle of Hannut, locatedNear, Gembloux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gembloux
Context triple: [Battle of Hannut, locatedNear, Gembloux]
  • A. Gembloux chosen
    Gembloux is a town in the Walloon region of Belgium known for its historic center and agricultural university.
  • B. Kevelaer
    Kevelaer is a renowned German pilgrimage town in North Rhine-Westphalia, famous as one of Europe’s most important Marian shrines and a major destination for Catholic pilgrims.
  • C. Berlencourt
    Berlencourt is a small commune in northern France, located within the Nord department in the Hauts-de-France region.
  • D. Margraten
    Margraten is a village in the Dutch province of Limburg best known for hosting the Netherlands American Cemetery, a major World War II military burial ground for U.S. soldiers.
  • E. Comines
    Comines is a town situated along the Lys River in the historic Flanders region on the border between France and Belgium.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb3d6e4819090b3c7fb92550c57 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afba5ec081908044a4aefdc6f9ee completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:22 p.m.